Author: Arief Anbiya ([email protected]), 2019
Requirements: Python 3.5, Kivy 1.10.0, Numpy 1.14.1, Matplotlib 1.5.1
Basic graph (data) exploration and visualization using Kivy (www.kivy.org). It has features of:
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Add node(s). Connect two nodes. Highlight nodes of a connected subgraph. Edit node's name. Nodes map. Go to a point. Generate plot (Matplotlib).
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By default, the "Import Data" button will import a synthetic data of twitter users (real usernames but synthetic connectivity) and add it to the graph object of the app. To use different data, the filename must be
data.npyand the format is a list of dictionaries of nodes and their neighbors --->[{'name': "name_of_node_1", 'neighbor': ["name_of_node_i", ....]}, ...]
To run the app, simply run the graphvy.py.
Preview:
Exploratory:
Generate plot using Matplotlib:
